cocorresp: Co-correspondence Analysis Methods

Fits predictive and symmetric co-correspondence analysis (CoCA) models to relate one data matrix
to another data matrix. More specifically, CoCA maximises the weighted covariance
between the weighted averaged species scores of one community and the weighted averaged species
scores of another community. CoCA attempts to find patterns that are common to both communities.